| Teaching Staff
|
Dr. Öğretim Üyesi Aslıhan ALHAN |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
None. |
| Recommended Optional Programme Component |
|
| Course Objectives |
The aim of this course is to make data analysis and statistical inferences by applying these methods on the SPSS package program by making use of basic statistical concepts and methods. |
| Course Content |
Provide students gain the ability to do data analysis by using SPSS package.
The content of this course; basic statistical concepts, defining SPSS package program menus, data entry and editing, descriptive statistics, hypothesis testing, distinguishing parametric and non-parametric methods, regression and correlation analysis and related applications and problem solving. |
| Learning Outcomes (LO) |
To provide the students with adequate familiarity with statistics package programs such that they will be able to
1. Explains and uses basic statistical concepts and definitions,
2. Entering and editing data into SPSS package program,
3. Summarize the data obtained as a result of a scientific research with tables and graphics,
4. Distinguish the statistical analysis appropriate to the measurement level of the data,
5. Can perform statistical analysis and solve the problem using the SPSS package program,
6. Interpret and evaluate the analysis outputs statistically.
|
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Introduction, basic concepts of statistics, measurement levels of variables |
| 2. Week |
Designing a study |
| 3. Week |
Creating a data file: SPSS menus, data entry, editing, changing (re-coding and calculating etc.) variables, sample selection |
| 4. Week |
Data scanning and cleaning |
| 5. Week |
Calculation of descriptive statistics, creation of frequency tables of quantitative and qualitative data |
| 6. Week |
Graph drawing, creation of crosstabs |
| 7. Week |
Exploring data (Test of normality), manipulation of data and choosing the convenient statistic |
| 8. Week |
Statistical techniques used to eplore relationships between variables: Correlation |
| 9. Week |
Statistical techniques to explore relationships among variables: Logistic Regression |
| 10. Week |
Statistical techniques used to compare groups: Indepentdent Samples T Test |
| 11. Week |
Statistical techniques used to compare groups: Mann Whitney U Test |
| 12. Week |
Statistical techniques used to compare groups: One Sample T Test |
| 13. Week |
Statistical techniques used to compare groups: Wilcoxon Test |
| 14. Week |
Statistical techniques used to compare groups One Way ANOVA |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
30 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
10 |
| Practice (%) |
|
| Labs (%) |
|
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
60 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
Course Book(s):
• Pallant J., (2016). SPSS Kullanma Kılavuzu, SPSS ile Adım Adım Veri Analizi, Anı Yayıncılık.
• Pallant, J. (2016). SPSS Survival Manual: A Step By Step Guide to Data Analysis Using SPSS Program (6th ed.). London, UK: McGraw-Hill Education.
References:
• Green, Samuel B._ Salkind, Neil J - Using SPSS for Windows and Macintosh analyzing and understanding data (2014, Pearson)
• Akgül, A. (2003). Tıbbı araştırmalarda istatistiksel analiz teknikleri, SPSS uygulamaları.
• Alpar, R. (2014). Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle Uygulamalı İstatistik ve Geçerlik-Güvenirlik, Detay Yayıncılık.
• Can, A., SPSS ile Bilimsel Araştırma Sürecinde Nicel Veri Analizi, Pegem Akademi
• Gamgam, H., Altunkaynak, B., (2008), Parametrik Olmayan Yöntemler-SPSS Uygulamalı, Gazi Kitabevi
|
| Work Placement(s) |
There is no internship for this course. |
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 | PQ13 | LO1 | 2 | 3 | 3 | 5 | 3 | 5 | 5 | 3 | 5 | 5 | 2 | 3 | 2 | LO2 | 3 | 2 | 3 | 4 | 3 | 4 | 5 | 3 | 5 | 5 | 2 | 3 | 2 | LO3 | 3 | 2 | 3 | 4 | 3 | 4 | 5 | 2 | 4 | 5 | 2 | 3 | 2 | LO4 | 2 | 2 | 3 | 4 | 3 | 4 | 5 | 3 | 5 | 5 | 2 | 3 | 2 | LO5 | 2 | 2 | 3 | 4 | 3 | 4 | 5 | 2 | 4 | 5 | 2 | 3 | 2 | LO6 | 2 | 2 | 2 | 4 | 3 | 4 | 5 | 2 | 4 | 5 | 2 | 3 | 2 |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |